# All Employees: Goods Producing — Everett, WA Metropolitan Division (NSA)

All Employees: Goods Producing — Everett, WA Metropolitan Division (NSA) was up 4.1% year on year in September 2026, compared with 3.3% in August 2026.
The level stood at 84.10 thousands.
Over the past ten years it has ranged from −17.5% (Oct 2024) to 18.6% (Oct 2025), averaging −0.7%.

- Source agency: U.S. Bureau of Labor Statistics (flat files)
- Makrognosis code: `US-21794.PAYEMS.M.NSA.IND-06000000`
- Frequency: monthly
- Units: thousands
- Coverage: 1990-01-01 to 2026-09-01 (441 observations)
- Page: https://makrognosis.robomacro.com/data/united-states/all-employees-goods-producing-everett-wa-metropolitan-division-nsa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 84.10 thousands | 4.1 |
| August 2026 | 83.90 thousands | 3.3 |
| July 2026 | 83.70 thousands | 2.4 |
| June 2026 | 82.80 thousands | 1.7 |
| May 2026 | 81.90 thousands | 0.7 |
| April 2026 | 80.80 thousands | −0.1 |
| March 2026 | 80.10 thousands | −1.2 |
| February 2026 | 79.40 thousands | −3.3 |
| January 2026 | 79.20 thousands | −3.2 |
| December 2025 | 79.80 thousands | −3.7 |
| November 2025 | 79.90 thousands | −3.9 |
| October 2025 | 80.30 thousands | 18.6 |
| September 2025 | 80.80 thousands | −4.9 |
| August 2025 | 81.20 thousands | −4.4 |
| July 2025 | 81.70 thousands | −3.8 |
| June 2025 | 81.40 thousands | −3.3 |
| May 2025 | 81.30 thousands | −2.6 |
| April 2025 | 80.90 thousands | −2.8 |
| March 2025 | 81.10 thousands | −2.2 |
| February 2025 | 82.10 thousands | −0.4 |
| January 2025 | 81.80 thousands | 0.2 |
| December 2024 | 82.90 thousands | 0.2 |
| November 2024 | 83.10 thousands | 0.6 |
| October 2024 | 67.70 thousands | −17.5 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/US-21794.PAYEMS.M.NSA.IND-06000000"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/US-21794.PAYEMS.M.NSA.IND-06000000",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```